JP2004126692A5 - - Google Patents

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JP2004126692A5
JP2004126692A5 JP2002286326A JP2002286326A JP2004126692A5 JP 2004126692 A5 JP2004126692 A5 JP 2004126692A5 JP 2002286326 A JP2002286326 A JP 2002286326A JP 2002286326 A JP2002286326 A JP 2002286326A JP 2004126692 A5 JP2004126692 A5 JP 2004126692A5
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vector
image processing
matrix
processing apparatus
brdf
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JP2002286326A
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JP2004126692A (en
JP3972784B2 (en
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Priority to US10/672,381 priority patent/US7256781B2/en
Publication of JP2004126692A publication Critical patent/JP2004126692A/en
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【0038】
【課題を解決するための手段】
上記目的を達成するため、本発明の第1の観点は、描画対象の表面上の一点に入射する光が物体表面で反射される割合を表す関数であるBRDFモデルに基づいて反射率を求める画像処理装置であって、光源方向ベクトルと視点方向ベクトルと法線方向ベクトルからなるベクトルと、BRDFモデルの特性を決める行列を含む2次形式の行列表現で計算されるBRDFモデルに基づいて上記反射率を計算する演算手段を有する。
[0038]
[Means for solving problems]
In order to achieve the above object, the first aspect of the present invention is an image for obtaining a reflectance based on a BRDF model, which is a function representing the ratio of light incident on a point on the surface of a drawing target reflected on the surface of an object. The reflectance is based on the BRDF model, which is a processing device and is calculated by a quadratic matrix representation including a vector consisting of a light source direction vector, a viewpoint direction vector, and a normal direction vector, and a matrix that determines the characteristics of the BRDF model. Has an arithmetic means for calculating.

本発明の第2の観点は、描画対象の表面上の一点に入射する光が物体表面で反射される割合を表す関数であるBRDFモデルに基づいて反射率を求める画像処理方法であって、光源方向ベクトルと視点方向ベクトルと法線方向ベクトルからなるベクトルと、BRDFモデルの特性を決める行列を含む2次形式の行列表現で計算されるBRDFモデルに基づいて上記反射率を計算する。 A second aspect of the present invention is an image processing method for obtaining a reflectance based on a BRDF model, which is a function representing the ratio of light incident on a point on the surface of a drawing target reflected on the surface of an object, and is a light source. The reflectance is calculated based on the BRDF model calculated by a quadratic matrix representation including a vector consisting of a direction vector, a viewpoint direction vector, and a normal direction vector, and a matrix that determines the characteristics of the BRDF model.

また、本発明では、上記光源方向と視点方向と法線方向からなるベクトルは、所定の線形変換を用いて次数を退化させたものである。 Further, in the present invention, the vector consisting of the light source direction, the viewpoint direction, and the normal direction is a degenerate order using a predetermined linear transformation.

好適には、上記2次形式の行列表現で計算されるBRDFモデルの特性を決める行列を小行列に分割して、分割した小行列の2次形式からなる多項式を用いて評価演算する。 Preferably, the matrix that determines the characteristics of the BRDF model calculated by the above - mentioned quadratic form matrix representation is divided into submatrixes, and the evaluation operation is performed using a polynomial composed of the quadratic form of the divided minors.

また、好適には、上記2次形式行列とベクトルの乗算後、ベクトル同士の乗算をする手順で計算する。 Further, preferably, the above quadratic form is calculated by a procedure of multiplying a matrix and a vector and then multiplying the vectors.

Claims (11)

描画対象の表面上の一点に入射する光が物体表面で反射される割合を表す関数であるBRDFモデルに基づいて反射率を求める画像処理装置であって、
光源方向ベクトルと視点方向ベクトルと法線方向ベクトルからなるベクトルと、BRDFモデルの特性を決める行列を含む2次形式の行列表現で計算されるBRDFモデルに基づいて上記反射率を計算する演算手段
を有する画像処理装置。
An image processing apparatus for obtaining a reflectance based on a BRDF model, which is a function representing a rate at which light incident on one point on a surface to be drawn is reflected on an object surface,
Arithmetic means for calculating the reflectance based on a BRDF model calculated by a quadratic form matrix representation including a vector comprising a light source direction vector, a view direction vector and a normal direction vector, and a matrix which determines characteristics of the BRDF model Image processing apparatus having.
上記光源方向と視点方向と法線方向からなるベクトルは、方向を表す3次元ベクトル、クオータニオン、極座標のいずれかである
請求項1記載の画像処理装置。
The image processing apparatus according to claim 1, wherein the vector including the light source direction, the viewpoint direction, and the normal direction is any one of a three-dimensional vector representing a direction, a quaternion, and a polar coordinate.
上記光源方向と視点方向と法線方向からなるベクトルは、所定の線形変換を用いて次数を退化させたものである
請求項1記載の画像処理装置。
2. The image processing apparatus according to claim 1, wherein the vector composed of the light source direction, the viewpoint direction, and the normal direction is one in which the order is degraded using a predetermined linear transformation.
上記光源方向と視点方向と法線方向からなるベクトルは、任意の初等演算、テーブル参照、またはその組み合わせによって、それらのベクトルを変換したものである
請求項1記載の画像処理装置。
2. The image processing apparatus according to claim 1, wherein the vector composed of the light source direction, the viewpoint direction and the normal direction is a vector obtained by converting these vectors by arbitrary elementary operations, table reference, or a combination thereof.
上記演算手段は、上記2次形式の行列表現で計算されるBRDFモデルの特性を決める行列を小行列に分割して、分割した小行列の2次形式からなる多項式を用いて評価演算する
請求項1記載の画像処理装置。
The calculating means, the matrix that determines the characteristics of the B RDF model that will be calculated by the matrix representation of the quadratic form is divided into submatrices, evaluates calculation using the polynomial comprising a quadratic form of divided sub-matrices according An image processing apparatus according to claim 1.
上記演算手段、上記2次形式は行列とベクトルの乗算後、ベクトル同士の乗算をする手順で計算する
請求項1記載の画像処理装置。
2. The image processing apparatus according to claim 1, wherein said arithmetic means is calculated in the procedure of multiplying vectors after multiplication of matrices and vectors in said quadratic form.
単数または複数の上記BRDFモデルの評価結果を加減算、乗算、除算、累乗算、2次形式を選択的に使用して合成する
請求項1記載の画像処理装置。
The image processing apparatus according to claim 1, wherein the evaluation result of one or more of the BRDF models is synthesized by selectively using addition and subtraction, multiplication, division, accumulation, and quadratic forms.
上記演算手段は、2つの異なるベクトルからなる行列演算式と、三角行列を含む2次形式行列とベクトル乗算との和との2つの演算モードを持ち、上記BRDFモデルを計算する複合演算器を有する
請求項1記載の画像処理装置。
The operation means has two operation modes of a matrix operation expression consisting of two different vectors and a sum of a quadratic form matrix including a triangular matrix and a vector multiplication, and has a compound operation unit for calculating the BRDF model. An image processing apparatus according to claim 1.
上記演算手段は、上記BRDFモデルの特性を決める行列を、あらかじめ与えられた複数のBRDF生データを上記BRDFモデルに代入して得られる複数の多項式からなる方程式を解くことによって得る
請求項1記載の画像処理装置。
The arithmetic means is obtained by solving a matrix which determines the characteristics of the BRDF model by solving an equation comprising a plurality of polynomials obtained by substituting a plurality of BRDF raw data given in advance into the BRDF model. Image processing device.
上記演算手段は、光源方向に対応したディフューズ(拡散)の反射率分布が、ハーフベクターの方向に対応したスペキュラーの反射率分布と同じ分布であると仮定することによって得られる対応関係より、ポリノミナルテクスチャマップ(Polynomial Texture Maps )のパラメータから、上記BRDFモデルの特性を決める行列を作る
請求項1記載の画像処理装置。
From the correspondence obtained by assuming that the above-mentioned calculation means has the same distribution as the reflectance distribution of the specular light corresponding to the direction of the half vector, the reflectance distribution of the diffuse (diffuse) corresponding to the light source direction is poly The image processing apparatus according to claim 1, wherein a matrix that determines the characteristics of the BRDF model is created from parameters of a nominal texture map.
描画対象の表面上の一点に入射する光が物体表面で反射される割合を表す関数であるBRDFモデルに基づいて反射率を求める画像処理方法であって、
光源方向ベクトルと視点方向ベクトルと法線方向ベクトルからなるベクトルと、BRDFモデルの特性を決める行列を含む2次形式の行列表現で計算されるBRDFモデルに基づいて上記反射率を計算する
画像処理方法。
An image processing method for obtaining a reflectance based on a BRDF model, which is a function representing a rate at which light incident on one point on a surface to be drawn is reflected on an object surface,
An image processing method for calculating the reflectance based on a BRDF model calculated by a quadratic form matrix representation including a vector including a light source direction vector, a view direction vector and a normal direction vector, and a matrix that determines characteristics of the BRDF model .
JP2002286326A 2002-09-30 2002-09-30 Image processing apparatus and method Expired - Fee Related JP3972784B2 (en)

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US10/672,381 US7256781B2 (en) 2002-09-30 2003-09-26 Image processing apparatus and method of same

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JP2002286326A JP3972784B2 (en) 2002-09-30 2002-09-30 Image processing apparatus and method

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